Paymentology: Cloud Engineer – GCP
Job Description
Paymentology
Headquarters: London
URL: https://paymentology.com
Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale.
Our advanced, multi-cloud platform, offering both shared and dedicated processing instances, vast global presence and richer, real-time data, set us apart as the leader in payments.
The Cloud Engineer is responsible for the design and development of cloud architectures, solutions, and migration strategies to support Paymentology’s business objectives. This role involves assessing existing IT infrastructure, identifying opportunities for cloud adoption, and recommending migration strategies based on cost, performance, and security considerations. The Cloud Architect defines cloud architecture principles, standards, and best practices, ensuring compliance with industry standards and regulatory requirements. This role designs scalable, resilient, and highly available cloud infrastructure solutions using Infrastructure as Code (IaC) tools and automation techniques. Additionally, the role includes implementing cloud security measures, optimising resource utilisation and performance, and supporting the implementation of cloud-based solutions across AWS, Azure, and OCI platforms.
What you get to do:
Cloud Design and Development:
- Lead the design and development of Google Cloud Platform (GCP) architectures
- Create scalable, resilient cloud solutions using Infrastructure as Code (IaC) tools like Terraform
- Design and migrate applications across GCP and AWS, optionally Azure, and OCI platforms
- Collaborate with stakeholders to define cloud strategies and optimize existing infrastructure
GCP and Multi-Cloud Expertise:
- Architect and implement cloud-native solutions in Google Cloud (GCP) and AWS, leveraging services like EKS, GKE (Google Kubernetes Engine), Cloud Functions, Pub/Sub, BigQuery, IAM, and Cloud SQL
- Design and optimize GCP and AWS networking (VPC, Interconnect, Cloud Load Balancing, VPN, Private Link)
- Implement Identity and Access Management (IAM) and Security Policies
- Work with Google Anthos, Kubernetes, and container-based architectures
- Optimize AWS and GCP cost and performance, ensuring efficiency across environments
- (Optional) Provide expertise in Azure, and OCI when needed
Kafka and Kubernetes Platform Management:
- Design, deploy, and maintain scalable Kafka and Kubernetes clusters to support development and production environments
- Implement best practices for Kafka and Kubernetes operations, ensuring high availability, performance, and security
- Monitor, troubleshoot, and optimize Kafka and Kubernetes infrastructure to meet development team needs
Implementation:
- Implement cloud infrastructure components, including compute, storage, networking, and security services
- Ensure seamless integration with existing systems across multi-cloud platforms
Migration and Deployment:
- Assess and migrate on-premises applications to the Google Cloud
- Develop and execute cloud migration and deployment strategies, ensuring security and performance
- Work with Terraform, Deployment Manager, and CloudFormation for IaC-based deployments
Security and Compliance:
- Implement cloud security measures and ensure compliance with ISO 27001, PCI DSS, GDPR, and other industry standards
- Define cloud architecture standards and best practices for a secure cloud environment
Performance Optimization:
- Monitor and optimize cloud resources for performance, scalability, and cost-efficiency
- Implement DevOps practices for streamlined deployment and operations
Troubleshooting and Support:
- Provide technical support for cloud infrastructure and services
- Troubleshoot and resolve performance, availability, and security issues
- Support production environments and participate in a 24×7 on-call rotation when required
Documentation and Knowledge Sharing:
- Create documentation and best practice guides for cloud environments
- Share knowledge with team members through training sessions and workshops
- Prepare technical presentations and contribute to continuous improvement efforts
Continuous Learning:
- Stay updated on emerging cloud technologies and trends
- Participate in training programs, certifications, and industry events
Requirements:
Education and Certifications:
- Bachelor’s Degree in Computer Science, Computer Engineering, or a related field. Equivalent work experience may be considered
Professional Certifications:
- GCP Certified Professional Cloud Architect (Advantage)
- AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, OCI Cloud Architect Associate
Experience:
- 7+ years of experience in designing, implementing, and managing cloud-based solutions across multiple cloud platforms
- Primary Expertise: Deep hands-on experience in Google Cloud (GCP) and AWS
- Proven experience in designing and implementing cloud architectures and solutions
- Strong experience with Apache Kafka, including setup, configuration, monitoring, and troubleshooting
- Proficiency in Kubernetes (GKE), including experience with container orchestration, Helm charts, and Kubernetes operators
- Hands-on experience with DevOps tools (e.g., GitLab, Jenkins, ArgoCD) and Infrastructure-as-Code (IaC) (e.g., Terraform, Ansible)
- Experience with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD) and source control management (Git)
- Strong scripting skills (e.g., Bash, Shell, PowerShell, Python)
- Experience in automating infrastructure deployment using IaC tools such as Terraform, CloudFormation, and ARM templates
- Experience with Agile methodologies and cloud governance models
- (Optional) Hands-on experience with Azure, and OCI cloud architectures
Preferred Certifications:
- Google Cloud Professional Cloud Architect (Optional)
- AWS Solutions Architect – Professional (Optional)
- Microsoft Certified: Azure Solutions Architect Expert (Optional)
- Certified Kubernetes Administrator (CKA) (Preferred for Kubernetes expertise)
Soft Skills:
- Strong organizational skills and the ability to work independently
- Ability to work collaboratively in a team environment
- Excellent verbal and written communication skills in English
- Strong problem-solving skills and critical thinking
To apply: https://weworkremotely.com/remote-jobs/paymentology-cloud-engineer-gcp
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